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Optimisation and Control Modelling in Micro-Grids

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 2625

Special Issue Editor


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Guest Editor
EVERGi-Innovating the Energy Transition, MOBI -Mobility, Logistics and Automotive Technology Research Centre, Vrije Universiteit Brussel, Ixelles, Brussels, Belgium

Special Issue Information

Dear Colleagues,

In recent years, distribution systems from the substations to the customers are facing significant changes, due to the growing number of distributed and variable energy generation resources and smart grid implementation. Abilities to dynamically optimize the operation, integrate diverse distributed generation types, and integrate demand response and energy-efficiency resources are needed in this modern power system era. This Special Issue is intended to promote research on optimization in electric power distribution systems, focusing on optimal expansion and operation planning issues.


Specific topics of interest include but are not limited to:
(1) Distribution systems modelling in optimization problems
(2) Operation planning
(3) Expansion planning
(4) Optimal Volt/var control
(5) Optimizing the integration of renewable energy sources, storage devices, and electric-vehicle charging stations
(6) Deterministic and stochastic models for energy management
(7) Operation and expansion planning in smart grid scenarios

In recent years, distribution systems from the substations to the customers are facing significant changes, due to the growing number of distributed and variable energy generation resources and smart grid implementation. Abilities to dynamically optimize the operation, integrate diverse distributed generation types, and integrate demand response and energy-efficiency resources are needed in this modern power system era. This Special Issue is intended to promote research on optimization in electric power distribution systems, focusing on optimal expansion and operation planning issues.


Specific topics of interest include but are not limited to:
(1) Distribution systems modelling in optimization problems
(2) Operation planning
(3) Expansion planning
(4) Optimal Volt/var control
(5) Optimizing the integration of renewable energy sources, storage devices, and electric-vehicle charging stations
(6) Deterministic and stochastic models for energy management
(7) Operation and expansion planning in smart grid scenarios

Dr. Yuvaraja Teekaraman
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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Research

19 pages, 6944 KiB  
Article
An Enhanced Emulated Inertia Control for Grid-Connected PV Systems with HESS in a Weak Grid
by Ratnam Kamala Sarojini, Palanisamy Kaliannan, Yuvaraja Teekaraman, Srete Nikolovski and Hamid Reza Baghaee
Energies 2021, 14(6), 1721; https://doi.org/10.3390/en14061721 - 19 Mar 2021
Cited by 17 | Viewed by 2157
Abstract
The role of renewable energy sources in the power grid is increasing tremendously. However, power electronic converters are used to incorporate RES into the grid without inertia. This article recommends an improved emulated inertia control approach focused on the frequency deviation and rate [...] Read more.
The role of renewable energy sources in the power grid is increasing tremendously. However, power electronic converters are used to incorporate RES into the grid without inertia. This article recommends an improved emulated inertia control approach focused on the frequency deviation and rate of change of frequency to enhance the inertia of a power system. The required inertial power calculated from emulated inertia control is delivered through hybrid energy storage systems equipped with a proper hybrid energy storage system control. The fast-varying power calculated from emulated inertia control is linked to super-capacitor. Simultaneously, the battery handles the slow varying power by regulating the DC bus voltage proportionate to the frequency variations. Further, the stability of the emulated inertia control and hybrid energy storage system controller is validated by Bode plots. The simulation results verified the correctness of the proposed emulated inertia control and hybrid energy storage system control. The real-time simulation results with the help of OPAL-RT are presented to validate the proposed method’s feasibility. Full article
(This article belongs to the Special Issue Optimisation and Control Modelling in Micro-Grids)
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